ETL Informatica Testing Engineer
Anuradha BUnited StatesSENIORPosted 13d ago
ETL TestingInformatica PowerCenterInformatica Workflow MonitorInformatica Repository ManagerInformatica DesignerInformatica Workflow ManagerSQLOracleSQL ServerTeradataPostgreSQLSnowflakeJIRAHP ALM Quality CentreAzure DevOpsData Warehouse ConceptsAWSAzureGCPDatabricksHadoopSparkPythonSeleniumAgile ScrumCICDDevOps
About the Role
We are seeking an experienced ETL Informatica Testing Engineer with strong expertise in data validation, ETL testing, and data warehousing concepts using Informatica PowerCenter.
Key Responsibilities
• Analyse business requirements, ETL specifications, source to target mappings, and data models.
• Design and execute test cases, test scenarios, and test scripts for ETL Data Warehouse projects.
• Validate data extraction, transformation, and loading processes developed using Informatica PowerCenter.
• Perform source to target data validation and reconciliation.
• Execute functional, integration, regression, system, and UAT support testing.
• Develop and execute complex SQL queries for backend data validation.
• Identify, track, and report defects using defect management tools.
• Validate data quality, data integrity, and business transformation rules.
• Work closely with ETL developers, business analysts, data architects, and stakeholders.
• Support production deployments and perform post-release validations.
• Participate in test planning, estimation, and status reporting.
Requirements
• 10+ years of experience in ETL Testing and Data Warehouse Testing.
• Hands-on experience validating large volume data migrations and transformations.
• Knowledge of data quality and data reconciliation techniques.
• Hands-on experience with Informatica PowerCenter, Informatica Workflow Monitor, Informatica Repository Manager, Informatica Designer, Workflow Manager.
• Strong SQL querying skills and experience with databases such as Oracle, SQL Server, Teradata, PostgreSQL, Snowflake.
• Experience with JIRA, HP ALM Quality Centre, Azure DevOps.
• Understanding of Data Warehouse Concepts, Fact and Dimension tables, Star Snowflake schemas.
• Experience with Data Mart and Enterprise Data Warehouse architecture.
• Experience with cloud data platforms such as AWS, Azure, or GCP.
• Exposure to Big Data technologies like Databricks, Hadoop, Spark.
• Knowledge of automation testing using Python or Selenium.
• Experience working in Agile Scrum environments.
• Understanding of CICD and DevOps practices.
• Bachelor’s degree in computer science, information technology, engineering, or related field.
• Relevant certifications in Informatica ETL Testing or Data Engineering are preferred.